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On Gradient Ascend for Single Data Stream Multifrequency Channel Interference Alignment

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Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 386))

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Abstract

This paper explores multifrequency channel interference alignment (IA) system with single data stream transmit for each user. This paper first proves that a M frequency independent fading channels and \(2M-2\) users IA system will have only single optimal IA solution when the transmit signal power reduce to 0. Then based on this idea, and by derivation of the sum rate gradient function, this paper proposes gradient ascend with power increase method to search interference alignment solution. At last, the numerical simulation results show that the proposed method will obtain a better network sum rate performance than the classical maximum signal to interference plus noise (Max-SINR) algorithm and minimum interference leakage (Min-IL) algorithm.

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Author information

Authors and Affiliations

  1. Key Lab of Universal Wireless Communications, MOE, Beijing, China

    Guanglong Du

  2. Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Weixia Zou

  3. State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, 210096, People’s Republic of China

    Zheng Zhou

Authors
  1. Guanglong Du
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  2. Weixia Zou
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  3. Zheng Zhou
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Corresponding author

Correspondence to Guanglong Du .

Editor information

Editors and Affiliations

  1. University of Texas at Arlington, ARLINGTON, Texas, USA

    Qilian Liang

  2. Tianjin Normal University, Tianjin, China

    Jiasong Mu

  3. Tianjin Normal University, Tianjin, China

    Wei Wang

  4. College of Physical and Electronic Infor, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2016 Springer-Verlag Berlin Heidelberg

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Du, G., Zou, W., Zhou, Z. (2016). On Gradient Ascend for Single Data Stream Multifrequency Channel Interference Alignment. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 386. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49831-6_32

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  • DOI: https://doi.org/10.1007/978-3-662-49831-6_32

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49829-3

  • Online ISBN: 978-3-662-49831-6

  • eBook Packages: EngineeringEngineering (R0)

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